Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSong Guo 0001
Person information
- affiliation: Hong Kong Polytechnic University, Department of Computing, Hong Kong
- affiliation (2007 - 2016): University of Aizu, Department of Computer Science and Engineering, Japan
- affiliation (PhD 2005): University of Ottawa, Department of Computer Science, ON, Canada
Other persons with the same name
- Song Guo — disambiguation page
- Song Guo 0002
![[0000-0001-6841-753X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6841-753X")
— Xi'an University of Architecture and Technology, China (and 1 more) - Song Guo 0003 — National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j390]Zhaolong Ning, Hao Hu, Xiaojie Wang, Lei Guo, Song Guo, Guoyin Wang, Xinbo Gao:
Mobile Edge Computing and Machine Learning in the Internet of Unmanned Aerial Vehicles: A Survey. ACM Comput. Surv. 56(1): 13:1-13:31 (2024)- 2023
- [j389]Shaoyong Guo, Fan Zhang, Song Guo, Siya Xu, Feng Qi:
Blockchain-Assisted Privacy-Preserving Data Computing Architecture for Web3. IEEE Commun. Mag. 61(8): 28-34 (2023) - [j388]Yuxia Sun, Jiefeng Fang, Yanjia Chen, Yepang Liu, Zhao Chen, Song Guo, Xinkai Chen, Ziyuan Tan:
Energy inefficiency diagnosis for Android applications: a literature review. Frontiers Comput. Sci. 17(1): 171201 (2023) - [j387]Weiqing Ren, Yuben Qu, Chao Dong, Yuqian Jing, Hao Sun, Qihui Wu, Song Guo:
A Survey on Collaborative DNN Inference for Edge Intelligence. Int. J. Autom. Comput. 20(3): 370-395 (2023) - [j386]Chao Wang, Chunxiao Jiang, Jingjing Wang, Shigen Shen, Song Guo, Peiying Zhang:
Blockchain-Aided Network Resource Orchestration in Intelligent Internet of Things. IEEE Internet Things J. 10(7): 6151-6163 (2023) - [j385]Qiannan Zhang, Huafeng Wu, Xiaojun Mei, Dezhi Han, Mario Donato Marino, Kuan-Ching Li, Song Guo:
A Sparse Sensor Placement Strategy Based on Information Entropy and Data Reconstruction for Ocean Monitoring. IEEE Internet Things J. 10(22): 19681-19694 (2023) - [j384]Peng Yu, Junye Zhang, Honglin Fang, Wenjing Li, Lei Feng, Fanqin Zhou, Pei Xiao, Song Guo:
Digital Twin Driven Service Self-Healing With Graph Neural Networks in 6G Edge Networks. IEEE J. Sel. Areas Commun. 41(11): 3607-3623 (2023) - [j383]Zicong Hong, Song Guo, Enyuan Zhou, Wuhui Chen, Huawei Huang, Albert Y. Zomaya:
GriDB: Scaling Blockchain Database via Sharding and Off-Chain Cross-Shard Mechanism. Proc. VLDB Endow. 16(7): 1685-1698 (2023) - [j382]Jie Zhang, Song Guo, Jingcai Guo, Deze Zeng, Jingren Zhou, Albert Y. Zomaya:
Towards Data-Independent Knowledge Transfer in Model-Heterogeneous Federated Learning. IEEE Trans. Computers 72(10): 2888-2901 (2023) - [j381]Fahao Chen, Peng Li, Deze Zeng, Song Guo:
Edge-Assisted Short Video Sharing With Guaranteed Quality-of-Experience. IEEE Trans. Cloud Comput. 11(1): 13-24 (2023) - [j380]Tianle Mai, Haipeng Yao, Ni Zhang, Lexi Xu, Mohsen Guizani, Song Guo:
Cloud Mining Pool Aided Blockchain-Enabled Internet of Things: An Evolutionary Game Approach. IEEE Trans. Cloud Comput. 11(1): 692-703 (2023) - [j379]Xiaoxu Ren, Chao Qiu, Xiaofei Wang, Zhu Han, Ke Xu, Haipeng Yao, Song Guo:
AI-Bazaar: A Cloud-Edge Computing Power Trading Framework for Ubiquitous AI Services. IEEE Trans. Cloud Comput. 11(3): 2337-2348 (2023) - [j378]Long Shi, Taotao Wang, Jun Li, Shengli Zhang, Song Guo:
Pooling is not Favorable: Decentralize Mining Power of PoW Blockchain Using Age-of-Work. IEEE Trans. Cloud Comput. 11(3): 2756-2769 (2023) - [j377]Yue Zeng, Baoliu Ye, Bin Tang, Sanglu Lu, Feng Xu, Song Guo, Zhihao Qu:
Mobility-Aware Proactive Flow Setup in Software-Defined Mobile Edge Networks. IEEE Trans. Commun. 71(3): 1549-1563 (2023) - [j376]Yuqian Jing, Yuben Qu, Chao Dong, Weiqing Ren, Yun Shen, Qihui Wu, Song Guo:
Exploiting UAV for Air-Ground Integrated Federated Learning: A Joint UAV Location and Resource Optimization Approach. IEEE Trans. Green Commun. Netw. 7(3): 1420-1433 (2023) - [j375]Jixuan Cui, Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, Song Guo:
Federated Meta-Learning for Few-Shot Fault Diagnosis With Representation Encoding. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j374]Yu Zhang, Yuxuan Liang, Jin Zhao, Fubing Mao, Lin Gu, Xiaofei Liao, Hai Jin, Haikun Liu, Song Guo, Yangqing Zeng, Hang Hu, Chen Li, Ji Zhang, Biao Wang:
EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing. IEEE Trans. Knowl. Data Eng. 35(6): 5823-5836 (2023) - [j373]Enyuan Zhou, Zicong Hong, Yang Xiao, Dongxiao Zhao, Qingqi Pei, Song Guo, Rajendra Akerkar:
MSTDB: A Hybrid Storage-Empowered Scalable Semantic Blockchain Database. IEEE Trans. Knowl. Data Eng. 35(8): 8228-8244 (2023) - [j372]Tao Huang, Baoliu Ye, Bin Tang, Lei Xie, Sanglu Lu, Song Guo:
Boost Sum-Product Performance for Multiuser Detection in mMTC at Millimeter Wave. IEEE Trans. Mob. Comput. 22(2): 765-780 (2023) - [j371]Xuan Liu, Jiangjin Yin, Shigeng Zhang, Kenli Li, Song Guo:
Receive Only Necessary: Efficient Tag Category Identification in Large-Scale RFID Systems. IEEE Trans. Mob. Comput. 22(2): 1157-1169 (2023) - [j370]Xiaojie Wang, Zhaolong Ning, Song Guo, Miaowen Wen, Lei Guo, H. Vincent Poor:
Dynamic UAV Deployment for Differentiated Services: A Multi-Agent Imitation Learning Based Approach. IEEE Trans. Mob. Comput. 22(4): 2131-2146 (2023) - [j369]Zhaolong Ning, Yuxuan Yang, Xiaojie Wang, Lei Guo, Xinbo Gao, Song Guo, Guoyin Wang:
Dynamic Computation Offloading and Server Deployment for UAV-Enabled Multi-Access Edge Computing. IEEE Trans. Mob. Comput. 22(5): 2628-2644 (2023) - [j368]Jing Li, Weifa Liang, Yuchen Li, Zichuan Xu, Xiaohua Jia, Song Guo:
Throughput Maximization of Delay-Aware DNN Inference in Edge Computing by Exploring DNN Model Partitioning and Inference Parallelism. IEEE Trans. Mob. Comput. 22(5): 3017-3030 (2023) - [j367]Yuben Qu, Lihao Wang, Haipeng Dai, Weijun Wang, Chao Dong, Fan Wu, Song Guo:
Server Placement for Edge Computing: A Robust Submodular Maximization Approach. IEEE Trans. Mob. Comput. 22(6): 3634-3649 (2023) - [j366]Xin Xie, Xiulong Liu, Junxiao Wang, Song Guo, Heng Qi, Keqiu Li:
Efficient Integrity Authentication Scheme for Large-Scale RFID Systems. IEEE Trans. Mob. Comput. 22(9): 5216-5230 (2023) - [j365]Haojun Teng, Zhetao Li, Kun Cao, Saiqin Long, Song Guo, Anfeng Liu:
Game Theoretical Task Offloading for Profit Maximization in Mobile Edge Computing. IEEE Trans. Mob. Comput. 22(9): 5313-5329 (2023) - [j364]Xuan Liu, Xinning Chen, Qiuying Yang, Shigeng Zhang, Song Guo, Juan Luo, Kenli Li:
More Than Scheduling: Novel and Efficient Coordination Algorithms for Multiple Readers in RFID Systems. IEEE Trans. Mob. Comput. 22(9): 5375-5388 (2023) - [j363]Xiaojie Wang, Zhaolong Ning, Lei Guo, Song Guo, Xinbo Gao, Guoyin Wang:
Mean-Field Learning for Edge Computing in Mobile Blockchain Networks. IEEE Trans. Mob. Comput. 22(10): 5978-5994 (2023) - [j362]Jing Li, Weifa Liang, Wenzheng Xu, Zichuan Xu, Xiaohua Jia, Albert Y. Zomaya, Song Guo:
Budget-Aware User Satisfaction Maximization on Service Provisioning in Mobile Edge Computing. IEEE Trans. Mob. Comput. 22(12): 7057-7069 (2023) - [j361]Shigeng Zhang, Zijing Ma, Kaixuan Lu, Xuan Liu, Jia Liu, Song Guo, Albert Y. Zomaya, Jian Zhang, Jianxin Wang:
HearMe: Accurate and Real-Time Lip Reading Based on Commercial RFID Devices. IEEE Trans. Mob. Comput. 22(12): 7266-7278 (2023) - [j360]Shigeng Zhang, Zijing Ma, Chengwei Yang, Xiaoyan Kui, Xuan Liu, Weiping Wang, Jianxin Wang, Song Guo:
Real-Time and Accurate Gesture Recognition With Commercial RFID Devices. IEEE Trans. Mob. Comput. 22(12): 7327-7342 (2023) - [j359]Ziming Liu, Song Guo, Jingcai Guo, Yuanyuan Xu, Fushuo Huo:
Towards Unbiased Multi-Label Zero-Shot Learning With Pyramid and Semantic Attention. IEEE Trans. Multim. 25: 7441-7455 (2023) - [j358]Jingcai Guo, Song Guo, Shiheng Ma, Yuxia Sun, Yuanyuan Xu:
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario. IEEE Trans. Neural Networks Learn. Syst. 34(2): 662-676 (2023) - [j357]Chenyang Wang, Ruibin Li, Xiaofei Wang, Tarik Taleb, Song Guo, Yuxia Sun, Victor C. M. Leung:
Heterogeneous Edge Caching Based on Actor-Critic Learning With Attention Mechanism Aiding. IEEE Trans. Netw. Sci. Eng. 10(6): 3409-3420 (2023) - [j356]Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu:
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. IEEE Trans. Parallel Distributed Syst. 34(5): 1548-1559 (2023) - [j355]Yuchen Li, Weifa Liang, Jing Li, Xiuzhen Cheng, Dongxiao Yu, Albert Y. Zomaya, Song Guo:
Energy-Aware, Device-to-Device Assisted Federated Learning in Edge Computing. IEEE Trans. Parallel Distributed Syst. 34(7): 2138-2154 (2023) - [j354]Rongxin Han, Dezhi Chen, Song Guo, Jingyu Wang, Qi Qi, Lu Lu, Jianxin Liao:
Multi-SP Network Slicing Parallel Relieving Edge Network Conflict. IEEE Trans. Parallel Distributed Syst. 34(11): 2860-2875 (2023) - [j353]Zeyu Qin, Haipeng Yao, Tianle Mai, Di Wu, Ni Zhang, Song Guo:
Multi-Agent Reinforcement Learning Aided Computation Offloading in Aerial Computing for the Internet-of-Things. IEEE Trans. Serv. Comput. 16(3): 1976-1986 (2023) - [j352]Yue Zeng, Zhihao Qu, Song Guo, Bin Tang, Baoliu Ye, Jing Li, Jie Zhang:
RuleDRL: Reliability-Aware SFC Provisioning With Bounded Approximations in Dynamic Environments. IEEE Trans. Serv. Comput. 16(5): 3651-3664 (2023) - [j351]Junxia Wang, Jiangtao Luo, Yongyi Ran, Junchao Yang, Kai Liu, Song Guo:
Towards Predictive Forwarding Strategy in Vehicular Named Data Networking. IEEE Trans. Veh. Technol. 72(3): 3751-3763 (2023) - [j350]Chenxi Li, Wenji He, Haipeng Yao, Tianle Mai, Jingjing Wang, Song Guo:
Knowledge Graph Aided Network Representation and Routing Algorithm for LEO Satellite Networks. IEEE Trans. Veh. Technol. 72(4): 5195-5207 (2023) - [j349]Zunliang Wang, Haipeng Yao, Tianle Mai, Zehui Xiong, Xiaohua Wu, Di Wu, Song Guo:
Learning to Routing in UAV Swarm Network: A Multi-Agent Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 72(5): 6611-6624 (2023) - [j348]Hao Dong, Cunqing Hua, Lingya Liu, Wenchao Xu, Song Guo, Rahim Tafazolli:
Joint Beamformer Design and User Scheduling for Integrated Terrestrial-Satellite Networks. IEEE Trans. Wirel. Commun. 22(10): 6398-6414 (2023) - [c249]Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang, Zhenda Xu, Jingren Zhou:
PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices. AAAI 2023: 3787-3795 - [c248]Jingcai Guo, Song Guo, Qihua Zhou, Ziming Liu, Xiaocheng Lu, Fushuo Huo:
Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition. AAAI 2023: 7775-7783 - [c247]Xuan Liu, Siqi Cai, Lin Li, Rui Zhang, Song Guo:
MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract). AAAI 2023: 16270-16271 - [c246]Yuben Qu, Yuqian Jing, Chao Dong, Lei Zhang, Qihui Wu, Song Guo:
Online Federated Learning for Air-Ground Edge Intelligence. ACM TUR-C 2023: 63-64 - [c245]Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junxiao Wang, Song Guo:
PMR: Prototypical Modal Rebalance for Multimodal Learning. CVPR 2023: 20029-20038 - [c244]Xiaocheng Lu, Song Guo, Ziming Liu, Jingcai Guo:
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning. CVPR 2023: 23560-23569 - [c243]Ziming Liu, Song Guo, Xiaocheng Lu, Jingcai Guo, Jiewei Zhang, Yue Zeng, Fushuo Huo:
(ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning. CVPR 2023: 23859-23868 - [c242]Jinglong Shen, Nan Cheng, Zhisheng Yin, Yuchuan Fu, Wenchao Xu, Song Guo:
RingSFL: An Adaptive Federated Learning System for Heterogeneous Clients. ICCC 2023: 1 - [c241]Shijing Yuan, Hongtao Lv, Hongze Liu, Chentao Wu, Song Guo, Zhi Liu, Hongyang Chen, Jie Li:
TradeFL: A Trading Mechanism for Cross-Silo Federated Learning. ICDCS 2023: 920-930 - [c240]Zhenda Xu, Jiahao Hu, Qiang Gao, Donghua Hang, Qihua Zhou, Song Guo, Aiqian Gan:
Development of Deep Learning Algorithms for Automated Scoliosis and Abnormal Posture Screening Using 2D Back Image. ICME 2023: 960-965 - [c239]Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao:
Anchor Sampling for Federated Learning with Partial Client Participation. ICML 2023: 37379-37416 - [c238]Yingchun Wang, Jingcai Guo, Jie Zhang, Song Guo, Weizhan Zhang, Qinghua Zheng:
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models. IJCNN 2023: 1-8 - [c237]Quan Chen, Kaijia Wang, Song Guo, Tuo Shi, Jing Li, Zhipeng Cai, Albert Y. Zomaya:
Latency-Optimal Pyramid-based Joint Communication and Computation Scheduling for Distributed Edge Computing. INFOCOM 2023: 1-10 - [c236]Zicong Hong, Song Guo, Enyuan Zhou, Jianting Zhang, Wuhui Chen, Jinwen Liang, Jie Zhang, Albert Y. Zomaya:
Prophet: Conflict-Free Sharding Blockchain via Byzantine-Tolerant Deterministic Ordering. INFOCOM 2023: 1-10 - [c235]Quan Chen, Song Guo, Wenchao Xu, Jing Li, Tuo Shi, Zhipeng Cai, Hong Gao:
Optimizing Average AoI with Directional Charging for Wireless-Powered Network Edge. IWQoS 2023: 1-10 - [c234]Peiran Dong, Song Guo, Junxiao Wang:
Investigating Trojan Attacks on Pre-trained Language Model-powered Database Middleware. KDD 2023: 437-447 - [c233]Shenghai Yuan, Jijia Chen, Jiaqi Li, Wenchao Jiang, Song Guo:
LHNet: A Low-cost Hybrid Network for Single Image Dehazing. ACM Multimedia 2023: 7706-7717 - [c232]Tao Guo, Song Guo, Junxiao Wang:
pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning. WWW 2023: 1364-1374 - [i65]Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang:
Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning. CoRR abs/2302.04453 (2023) - [i64]Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang:
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models. CoRR abs/2302.04464 (2023) - [i63]Yunfeng Fan, Wenchao Xu, Haozhao Wang, Jiaqi Zhu, Junxiao Wang, Song Guo:
DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning. CoRR abs/2303.07864 (2023) - [i62]Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan, Song Guo:
Offline-Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement. CoRR abs/2303.10891 (2023) - [i61]Zicong Hong, Song Guo, Enyuan Zhou, Jianting Zhang, Wuhui Chen, Jinwen Liang, Jie Zhang, Albert Y. Zomaya:
Prophet: Conflict-Free Sharding Blockchain via Byzantine-Tolerant Deterministic Ordering. CoRR abs/2304.08595 (2023) - [i60]Jingcai Guo, Song Guo, Shiheng Ma, Yuxia Sun, Yuanyuan Xu:
CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario. CoRR abs/2305.01236 (2023) - [i59]Xiaocheng Lu, Ziming Liu, Song Guo, Jingcai Guo, Fushuo Huo, Sikai Bai, Tao Han:
DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning. CoRR abs/2305.01239 (2023) - [i58]Jingcai Guo, Yuanyuan Xu, Wenchao Xu, Yufeng Zhan, Yuxia Sun, Song Guo:
MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition. CoRR abs/2305.01245 (2023) - [i57]Yingchun Wang, Jingcai Guo, Yi Liu, Song Guo, Weizhan Zhang, Xiangyong Cao, Qinghua Zheng:
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization. CoRR abs/2305.11615 (2023) - [i56]Ruibin Li, Qihua Zhou, Song Guo, Jie Zhang, Jingcai Guo, Xinyang Jiang, Yifei Shen, Zhenhua Han:
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models. CoRR abs/2306.00714 (2023) - [i55]Leijie Wu, Song Guo, Junxiao Wang, Zicong Hong, Jie Zhang, Jingren Zhou:
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions. CoRR abs/2306.01431 (2023) - [i54]Xiang Yang, Dezhi Chen, Qi Qi, Jingyu Wang, Haifeng Sun, Jianxin Liao, Song Guo:
Adaptive DNN Surgery for Selfish Inference Acceleration with On-demand Edge Resource. CoRR abs/2306.12185 (2023) - [i53]Zhijie Rao, Jingcai Guo, Luyao Tang, Yue Huang, Xinghao Ding, Song Guo:
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection. CoRR abs/2307.01750 (2023) - [i52]Zicong Hong, Xiaoyu Qiu, Jian Lin, Wuhui Chen, Yue Yu, Hui Wang, Song Guo, Wen Gao:
Intelligence-Endogenous Management Platform for Computing and Network Convergence. CoRR abs/2308.03450 (2023) - [i51]Ziming Liu, Jingcai Guo, Xiaocheng Lu, Song Guo, Peiran Dong, Jiewei Zhang:
GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning. CoRR abs/2309.00923 (2023) - [i50]Shuaijun Chen, Omid Tavallaie, Michael Henri Hambali, Seid Miad Zandavi, Hamed Haddadi, Song Guo, Albert Y. Zomaya:
Boosting Client Selection of Federated Learning under Device and Data Heterogeneity. CoRR abs/2310.08147 (2023) - [i49]Xiaojie Wang, Beibei Wang, Yu Wu, Zhaolong Ning, Song Guo, Fei Richard Yu:
Trustworthy Edge Machine Learning: A Survey. CoRR abs/2310.17944 (2023) - [i48]Zhaolong Ning, Tengfeng Li, Yu Wu, Xiaojie Wang, Qingqing Wu, Fei Richard Yu, Song Guo:
Intelligent-Reflecting-Surface-Assisted UAV Communications for 6G Networks. CoRR abs/2310.20242 (2023) - [i47]Xiaojie Wang, Hanxue Li, Ling Yi, Zhaolong Ning, Song Guo, Yan Zhang:
A Survey on Off-chain Networks: Frameworks, Technologies, Solutions and Challenges. CoRR abs/2311.10298 (2023) - [i46]Akash Dhasade, Yaohong Ding, Song Guo, Anne-Marie Kermarrec, Martijn de Vos, Leijie Wu:
QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation. CoRR abs/2311.15603 (2023) - 2022
- [j347]Yulei Wu, Hong-Ning Dai, Haozhe Wang, Zehui Xiong, Song Guo:
A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory. IEEE Commun. Surv. Tutorials 24(2): 1175-1211 (2022) - [j346]Huawei Huang, Wei Kong, Sicong Zhou, Zibin Zheng, Song Guo:
A Survey of State-of-the-Art on Blockchains: Theories, Modelings, and Tools. ACM Comput. Surv. 54(2): 44:1-44:42 (2022) - [j345]Jie Zhang, Zhihao Qu, Chenxi Chen, Haozhao Wang, Yufeng Zhan, Baoliu Ye, Song Guo:
Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge. ACM Comput. Surv. 54(7): 151:1-151:36 (2022) - [j344]Yingchun Wang, Jingyi Wang, Weizhan Zhang, Yufeng Zhan, Song Guo, Qinghua Zheng, Xuanyu Wang:
A survey on deploying mobile deep learning applications: A systemic and technical perspective. Digit. Commun. Networks 8(1): 1-17 (2022) - [j343]Haozhao Wang, Zhihao Qu, Qihua Zhou, Haobo Zhang, Boyuan Luo, Wenchao Xu, Song Guo, Ruixuan Li:
A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT. IEEE Internet Things J. 9(2): 939-963 (2022) - [j342]Chang Liu, Shaoyong Guo, Song Guo, Yong Yan, Xuesong Qiu, Suxiang Zhang:
LTSM: Lightweight and Trusted Sharing Mechanism of IoT Data in Smart City. IEEE Internet Things J. 9(7): 5080-5093 (2022) - [j341]Kaimin Wei, Kai Huang, Yongdong Wu, Zhetao Li, Hongliang He, Jilian Zhang, Jinpeng Chen, Song Guo:
High-Performance UAV Crowdsensing: A Deep Reinforcement Learning Approach. IEEE Internet Things J. 9(19): 18487-18499 (2022) - [j340]Haozhao Wang, Ruixuan Li, Chengjie Li, Pan Zhou, Yuhua Li, Wenchao Xu, Song Guo:
Gradient Scheduling With Global Momentum for Asynchronous Federated Learning in Edge Environment. IEEE Internet Things J. 9(19): 18817-18828 (2022) - [j339]Wenzhuo Yang, Yipeng Zhou, Miao Hu, Di Wu, Xi Zheng, Jessie Hui Wang, Song Guo, Chao Li:
Gain Without Pain: Offsetting DP-Injected Noises Stealthily in Cross-Device Federated Learning. IEEE Internet Things J. 9(22): 22147-22157 (2022) - [j338]Zicong Hong, Song Guo, Peng Li:
Scaling Blockchain via Layered Sharding. IEEE J. Sel. Areas Commun. 40(12): 3575-3588 (2022) - [j337]Leijie Wu, Song Guo, Junxiao Wang, Zicong Hong, Jie Zhang, Yaohong Ding:
Federated Unlearning: Guarantee the Right of Clients to Forget. IEEE Netw. 36(5): 129-135 (2022) - [j336]Jiahui Yu, Kun Wang, Peng Li, Rui Xia, Song Guo, Minyi Guo:
Efficient Trustworthiness Management for Malicious User Detection in Big Data Collection. IEEE Trans. Big Data 8(1): 99-112 (2022) - [j335]Xuan Song, Haoran Zhang, Rajendra Akerkar, Huawei Huang, Song Guo, Lei Zhong, Yusheng Ji, Andreas L. Opdahl, Hemant Purohit, André Skupin, Akshay Pottathil, Aron Culotta:
Big Data and Emergency Management: Concepts, Methodologies, and Applications. IEEE Trans. Big Data 8(2): 397-419 (2022) - [j334]Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Yutong Yang, Zhihao Qu, Yi Wang:
Heterogeneity-Aware Gradient Coding for Tolerating and Leveraging Stragglers. IEEE Trans. Computers 71(4): 779-794 (2022) - [j333]Yufeng Zhan, Peng Li, Leijie Wu, Song Guo:
L4L: Experience-Driven Computational Resource Control in Federated Learning. IEEE Trans. Computers 71(4): 971-983 (2022) - [j332]Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Yufeng Zhan, Qifeng Liu, Rajendra Akerkar:
Adaptive Federated Learning on Non-IID Data With Resource Constraint. IEEE Trans. Computers 71(7): 1655-1667 (2022) - [j331]Chao Qiu, Haipeng Yao, Chunxiao Jiang, Song Guo, Fangmin Xu:
Cloud Computing Assisted Blockchain-Enabled Internet of Things. IEEE Trans. Cloud Comput. 10(1): 247-257 (2022) - [j330]Haifeng Sun, Zhiyi Gui, Song Guo, Qi Qi, Jingyu Wang, Jianxin Liao:
GSSP: Eliminating Stragglers Through Grouping Synchronous for Distributed Deep Learning in Heterogeneous Cluster. IEEE Trans. Cloud Comput. 10(4): 2637-2648 (2022) - [j329]Yu Ma, Weifa Liang, Meitian Huang, Wenzheng Xu, Song Guo:
Virtual Network Function Service Provisioning in MEC Via Trading Off the Usages Between Computing and Communication Resources. IEEE Trans. Cloud Comput. 10(4): 2949-2963 (2022) - [j328]